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A framework for simulating real-time multi-agent systems

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Abstract

In this paper, we describe an implementation of use in demonstrating the effectiveness of architectures for real-time multi-agent systems. The implementation provides a simulation of a simplified RoboCup Search and Rescue environment, with unexpected events, and includes a simulator for both a real-time operating system and a CPU. We present experimental evidence to demonstrate the benefit of the implementation in the context of a particular hybrid architecture for multi-agent systems that allows certain agents to remain fully autonomous, while others are fully controlled by a coordinating agent. In addition, we discuss the value of the implementation for testing any models for the construction of real-time multi-agent systems and include a comparison to related work.

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Authors and Affiliations

  1. School of Computer Science, University of Waterloo, Waterloo, ON, Canada, N2L 3G1

    Chris Micacchi & Robin Cohen

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  1. Chris Micacchi
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  2. Robin Cohen
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Correspondence to Robin Cohen.

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Micacchi, C., Cohen, R. A framework for simulating real-time multi-agent systems. Knowl Inf Syst 17, 135–166 (2008). https://doi.org/10.1007/s10115-007-0120-4

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  • DOI: https://doi.org/10.1007/s10115-007-0120-4

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